1. Sentiment turns negative.

The case to buy stocks is not quite gone, but it’s hanging by a thread.
Still, JPMorgan strategists recommend looking through this temporary setback. Rising oil prices mechanically imply higher headline CPI, but they find it “very hard to believe that oil price spikes driven by a geopolitical escalation, which is clearly growth-bearish, warrants liquidity tightening by central banks.”
JPMorgan sees a lot of differences to 2022, when inflation was stoked by the fallout from the Covid shock. “Our view was that this escalation will not be long lasting, due to a range of considerations, and that post the initial bout of de-risking, one should use the weakness to add,” they say.

2. Rotation into the safest sectors.

Defensives, low-volatility, high-dividend and quality stocks have been outperforming, while momentum, value and cyclicals have taken a hit.

3. Chinese AI stocks got a lift after Jensen Huang said that OpenClaw is “definitely the next ChatGPT”.

The endorsement validates China's growing AI agent capabilities despite U.S. export restrictions on advanced chips.
OpenClaw represents the next wave of AI technology - autonomous agents that can take actions, not just generate text.
OpenClaw's architecture focuses on agentic AI - systems that don't just respond to prompts but can plan, execute multi-step tasks, and interact with external tools and APIs. This represents the current frontier in AI development, with companies like OpenAI and Google racing to build similar capabilities. That a Chinese platform is drawing comparisons to ChatGPT's breakthrough moment indicates how quickly China's AI ecosystem has matured.
The OpenClaw moment also highlights how AI agent capabilities are becoming the new battleground. While the large language model race dominated 2023 and 2024, the focus has shifted to systems that can reliably execute complex tasks. Companies that crack this challenge stand to capture enormous value as AI moves from chatbots to true digital assistants.
For investors, the surge in Chinese AI stocks represents a bet that the AI revolution will be multipolar rather than U.S.-dominated.

4. The zeitgeist of China in spring 2026.

A modern crowd packs an auditorium in March of 2026.
They wear plush red “lobster claw” headbands.
A glowing screen displays a stark warning: “2026: Humanity is no longer divided by gender, but by creators and bystanders. Mastering OpenClaw is your ticket to Web 4.0.”
What is Openclaw all about?
The fundamental issue/problem of LLM’s is structural design. Relying on a single, monolithic LLM to execute complex, real-world workflows is like trying to build a city by stacking a single skyscraper infinitely high. Without proper foundational engineering, zoning laws, or internal load-bearing structures, it eventually collapses under its own immense weight. A monolithic AI lacks the structural integrity to govern complexity.
To get actual work done, what is needed is not an omniscient, all-in-one god, but a city plan, which includes infrastructure, distinct districts, and a highly functional bureaucracy.
This is the paradigm shift from single LLMs to Multi-Agent orchestration. The future of AI is not about increasing the IQ of one brain; it is about organizing multiple average brains into an infallible corporate structure.

5. The market is too bearish on Heidelberg.

So far, moves higher in energy costs in Europe are small relative to the period after the 2022 Ukraine invasion and hedges will protect Heidelberg margins in the short term.

Themes of German infrastructure stimulus, US infrastructure needs, residential recovery suggest this is too bearish, even with the near-term growth risks.
Risk/reward is attractive at this point.

Below: On consensus earnings growth, Heidelberg trades inexpensive vs peers.

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